Most AI coding assistants are great at the easy 80%: scaffolding a component, writing a test, renaming a variable across a codebase. They start to wobble on the hard 20% — a race condition that only shows up under load, a refactor that touches a dozen interdependent files, a bug whose root cause is three layers removed from where it surfaces. That gap is exactly what Google is targeting with /boost, a new slash command in Google Antigravity, its agentic development platform, and the Antigravity CLI. Instead of a single model taking one pass at a hard problem, /boost spins up a coordinated team of subagents that plan, execute, and independently verify a solution before handing it back to you.
For agencies and teams building software with AI assistance day to day, this is worth paying attention to — it's a concrete answer to one of the most common complaints about coding agents: they're fast until the problem gets genuinely hard, and then they guess.
/boost runs a three-phase multi-agent reasoning pipeline:
Phase 1 — Goal and strategy formulation. A "Primary Orchestrator" agent reads your prompt, inspects the relevant parts of the codebase, and breaks the problem into discrete, verifiable subtasks. It decides which specialized workstreams the job actually needs rather than throwing the whole codebase at one model.
Phase 2 — Parallel execution and verification. The orchestrator dispatches those subtasks to subagents working in isolated, ephemeral worktrees. Some subagents implement candidate fixes and write tests; others investigate — tracing call graphs, reading unfamiliar dependencies, doing root-cause analysis — without touching any files. Each subagent runs builds and test suites locally to check its own hypothesis before reporting back.
Phase 3 — Synthesis and delivery. The orchestrator aggregates the results, runs the combined solution against the full test suite and edge cases, and if something fails, feeds the error back into another iteration automatically. Only once everything passes does it hand you a summary of verified changes.
The net effect is closer to how a senior engineer would actually approach a nasty bug — form a hypothesis, delegate investigation, verify before committing — rather than a single model guessing in one shot.
Antigravity now ships three distinct execution modes, and the differences are the interesting part:
/boost) — the new middle tier: a three-phase reasoning hierarchy purpose-built for concurrency bugs, algorithmic optimization, subtle regressions, and multi-file architecture problems. Seconds to hours, immediate execution (no scoping interview), paid plans only./teamwork-preview) — persistent, multi-role agent teams for repository-scale migrations and multi-day autonomous campaigns, with adversarial verification. Hours to days.Google is explicit that /boost is meant to fill the gap between "quick interactive coding" and "long autonomous campaigns" — the zone where most genuinely hard engineering tickets actually live.
If your team ships client work with Cursor, Claude Code, Antigravity, or similar tools already in the stack, /boost is a signal worth acting on rather than skimming past. A few practical implications:
Hard bugs stop being a reason to drop out of the agentic workflow. Today, most teams fall back to manual debugging the moment an AI agent stalls on a concurrency bug or a gnarly refactor — which breaks the flow and reintroduces the exact toil agentic tools were supposed to remove. A verified multi-agent pass at that moment keeps the whole engagement inside one workflow.
Verification is built in, not bolted on. Because subagents run builds and tests locally before reporting, and the orchestrator re-validates the combined result against the full suite, /boost is designed to reduce the "looks right, isn't" failure mode that makes AI-generated fixes risky to ship without review — a real concern for agencies whose reputation rides on what they deliver to clients.
It's a preview of where agent tooling is heading. Anthropic, xAI, and others are converging on the same idea — that hard problems need orchestration and independent verification, not just a bigger single model. Google shipping this as a first-class, documented feature inside a mainstream IDE is a useful signal for anyone deciding which coding-agent stack to standardize on.
Permissions stay familiar. /boost subagents inherit the same file-access and command-permission policies as your normal workspace, and protected actions still surface for interactive approval — so adopting it doesn't mean handing over broader autonomy than you're already comfortable with.
In Antigravity 2.0, type /boost followed by your task in any conversation turn, for example:
/boost Investigate the race condition in the session cache and implement a thread-safe fix with tests.In the Antigravity CLI, the same command works directly in the terminal prompt. It's built for concurrency and race-condition debugging, algorithmic problem-solving, non-trivial cross-file refactors, and deep root-cause investigation — the categories of tickets that usually eat the most engineering hours.
/boost command runs a three-phase multi-agent pipeline — strategy, parallel execution with verification, synthesis — aimed at hard coding problems single-pass agents struggle with.RAG assistants on your documents, AI agents that act in your tools, and LLM features inside your product.
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